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Fractal Dimension Analysis of the Julia Sets of Controlled Brusselator Model

机译:朱莉娅控制布鲁塞尔模型的分形尺寸分析

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摘要

Fractal theory is a branch of nonlinear scientific research, and its research object is the irregular geometric form in nature. On account of the complexity of the fractal set, the traditional Euclidean dimension is no longer applicable and the measurement method of fractal dimension is required. In the numerous fractal dimension definitions, box-counting dimension is taken to characterize the complexity of Julia set since the calculation of box-counting dimension is relatively achievable. In this paper, the Julia set of Brusselator model which is a class of reaction diffusion equations from the viewpoint of fractal dynamics is discussed, and the control of the Julia set is researched by feedback control method, optimal control method, and gradient control method, respectively. Meanwhile, we calculate the box-counting dimension of the Julia set of controlled Brusselator model in each control method, which is used to describe the complexity of the controlled Julia set and the system. Ultimately we demonstrate the effectiveness of each control method.
机译:分形理论是非线性科学研究的分支,其研究对象是自然界不规则的几何形式。由于分形集的复杂性,传统的欧几里德尺寸不再适用,并且需要分形尺寸的测量方法。在众多分形维数定义中,盒子计数尺寸被采取表征Julia集合的复杂性,因为盒子计数尺寸的计算相对可实现。本文讨论了从分形动力学的观点出发的一类反应扩散方程的朱莉娅·布鲁沙模型,并通过反馈控制方法,最优控制方法和梯度控制方法研究了Julia集合的控制,分别。同时,我们在每个控制方法中计算了Julia控制的布鲁塞尔模型的盒子计数维度,用于描述受控朱莉娅集的复杂性和系统。最终,我们证明了每个控制方法的有效性。

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